#!/usr/bin/env python

## \file config.py
#  \brief python package for config 
#  \author T. Lukaczyk, F. Palacios
#  \version 7.1.0 "Blackbird"
#
# SU2 Project Website: https://su2code.github.io
# 
# The SU2 Project is maintained by the SU2 Foundation 
# (http://su2foundation.org)
#
# Copyright 2012-2020, SU2 Contributors (cf. AUTHORS.md)
#
# SU2 is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
# 
# SU2 is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with SU2. If not, see <http://www.gnu.org/licenses/>.

# ----------------------------------------------------------------------
#  Imports
# ----------------------------------------------------------------------

import os, sys, shutil, copy
from .historyMap import history_header_map as historyOutFields
import numpy as np
from ..util import ordered_bunch, switch
from .tools import *
from .config_options import *

from ..util.ordered_dict import OrderedDict

inf = 1.0e20


# ----------------------------------------------------------------------
#  Configuration Class
# ----------------------------------------------------------------------

class Config(ordered_bunch):
    """ config = SU2.io.Config(filename="")
        
        Starts a config class, an extension of 
        ordered_bunch()
        
        use 1: initialize by reading config file
            config = SU2.io.Config('filename')
        use 2: initialize from dictionary or bunch
            config = SU2.io.Config(param_dict)
        use 3: initialize empty
            config = SU2.io.Config()
        
        Parameters can be accessed by item or attribute
        ie: config['MESH_FILENAME'] or config.MESH_FILENAME
        
        Methods:
            read()       - read from a config file
            write()      - write to a config file (requires existing file)
            dump()       - dump a raw config file
            unpack_dvs() - unpack a design vector 
            diff()       - returns the difference from another config
            dist()       - computes the distance from another config
    """    

    _filename = 'config.cfg'
    
    def __init__(self,*args,**kwarg):
        
        # look for filename in inputs
        if args and isinstance(args[0],str):
            filename = args[0]
            args = args[1:]
        elif 'filename' in kwarg:
            filename = kwarg['filename']
            del kwarg['filename']
        else:
            filename = ''
        
        # initialize ordered bunch
        super(Config,self).__init__(*args,**kwarg)
        
        # read config if it exists
        if filename:
            try:
                self.read(filename)
            except IOError:
                print('Could not find config file: %s' % filename)
            except:
                print('Unexpected error: ', sys.exc_info()[0])
                raise
        self._filename = filename

        if self.get("TIME_DOMAIN") == "YES":
            objFuncsFields = self.get("OPT_OBJECTIVE")
            histFields = self.get("HISTORY_OUTPUT")
            diff_objective = self.get("OBJECTIVE_FUNCTION")
            constrFuncFields = self.get("OPT_CONSTRAINT")

            #OPT_OBJECTIVES
            if bool (objFuncsFields):
                for key in objFuncsFields:
                    tavg_keyGroup = "TAVG_" + historyOutFields[key]["GROUP"]
                    if  not tavg_keyGroup in histFields:
                        histFields.append(tavg_keyGroup)

                    dtavg_keyGroup = "D_TAVG_" + historyOutFields[key]["GROUP"]
                    if not dtavg_keyGroup in histFields:
                        histFields.append(dtavg_keyGroup)

            #OPT_CONSTRAINTS
            if bool (constrFuncFields):
                for key in constrFuncFields:
                    eqIneqConstrFunc = constrFuncFields.get(key)
                    for key_inner in eqIneqConstrFunc:
                        tavg_keyGroup = "TAVG_" + historyOutFields[key_inner]["GROUP"]
                        if  not tavg_keyGroup in histFields:
                            histFields.append(tavg_keyGroup)

            #DIRECT_DIFF Field
            if diff_objective in historyOutFields:
                tavg_keyGroup = "TAVG_" + historyOutFields[diff_objective]["GROUP"]
                if  not tavg_keyGroup in histFields:
                    histFields.append(tavg_keyGroup)

                dtavg_keyGroup = "D_TAVG_" + historyOutFields[diff_objective]["GROUP"]
                if not dtavg_keyGroup in histFields:
                    histFields.append(dtavg_keyGroup)

            self["HISTORY_OUTPUT"]= histFields

    
    def read(self,filename):
        """ reads from a config file """
        konfig = read_config(filename)
        self.update(konfig)
        
    def write(self,filename=''):
        """ updates an existing config file """
        if not filename: filename = self._filename
        assert os.path.exists(filename) , 'must write over an existing config file'
        write_config(filename,self)
        
    def dump(self,filename=''):
        """ dumps all items in the config bunch, without comments """
        if not filename: filename = self._filename
        dump_config(filename,self)
    
    def __getattr__(self,k):
        try:
            return super(Config,self).__getattr__(k)
        except AttributeError:
            raise AttributeError('Config parameter not found')
        
    def __getitem__(self,k):
        try:
            return super(Config,self).__getitem__(k)
        except KeyError:
            raise KeyError('Config parameter not found: %s' % k)

    def unpack_dvs(self,dv_new,dv_old=None):
        """ updates config with design variable vectors
            will scale according to each DEFINITION_DV scale parameter
            
            Modifies:
                DV_KIND
                DV_MARKER
                DV_PARAM
                DV_VALUE_OLD
                DV_VALUE_NEW
            
            Inputs:
                dv_new - list or array of new dv values
                dv_old - optional, list or array of old dv values, defaults to zeros
                         
        """
        
        dv_new = copy.deepcopy(dv_new)
        dv_old = copy.deepcopy(dv_old)
        
        # handle unpacking cases
        def_dv = self['DEFINITION_DV']

        n_dv   = sum(def_dv['SIZE'])

        if not dv_old: dv_old = [0.0]*n_dv
        assert len(dv_new) == len(dv_old) , 'unexpected design vector length'
        
        # handle param
        param_dv = self['DV_PARAM']

        # apply scale
        dv_scales = def_dv['SCALE']

        k = 0
        for i, dv_scl in enumerate(dv_scales):
            for j in range(def_dv['SIZE'][i]):
                dv_new[k] = dv_new[k]*dv_scl;
                dv_old[k] = dv_old[k]*dv_scl;
                k = k + 1
        
        # Change the parameters of the design variables

        self['DV_KIND'] = def_dv['KIND']
        param_dv['PARAM'] = def_dv['PARAM']
        param_dv['FFDTAG'] = def_dv['FFDTAG']
        param_dv['SIZE']   = def_dv['SIZE']
        
        self.update({ 'DV_VALUE_OLD'     : dv_old              ,
                      'DV_VALUE_NEW'     : dv_new              })

    def __eq__(self,konfig):
        return super(Config,self).__eq__(konfig)
    def __ne__(self,konfig):
        return super(Config,self).__ne__(konfig)
    
    
    def local_files(self):
        """ removes path prefix from all *_FILENAME params
        """
        for key, value in self.items():
            if key.split('_')[-1] == 'FILENAME':
                self[key] = os.path.basename(value)    
    
    def diff(self,konfig):
        """ compares self to another config
            
            Inputs: 
                konfig - a second config
            
            Outputs:
                config_diff - a config containing only the differing 
                    keys, each with values of a list of the different 
                    config values.
                for example: 
                config_diff.MATH_PROBLEM = ['DIRECT','CONTINUOUS_ADJOINT']
                
        """
        
        keys = set([])
        keys.update( self.keys() )
        keys.update( konfig.keys() )
        
        konfig_diff = Config()
        
        for key in keys:
            value1 = self.get(key,None)
            value2 = konfig.get(key,None)
            if not value1 == value2:
                konfig_diff[key] = [value1,value2]
        
        return konfig_diff
    
    def dist(self,konfig,keys_check='ALL'):
        """ calculates a distance to another config
            
            Inputs: 
                konfig     - a second config
                keys_check - optional, a list of keys to check
            
            Outputs:
                distance   - a float
                
            Currently only works for DV_VALUE_NEW and DV_VALUE_OLD
            Returns a large value otherwise
                
        """        

        konfig_diff = self.diff(konfig)
        
        if keys_check == 'ALL':
            keys_check = konfig_diff.keys()
    
        distance = 0.0
        
        for key in keys_check:
            if key in konfig_diff:
                
                val1 = konfig_diff[key][0]
                val2 = konfig_diff[key][1]
                
                if key in ['DV_VALUE_NEW',
                           'DV_VALUE_OLD']:
                    val1 = np.array( val1 )
                    val2 = np.array( val2 )
                    this_diff = np.sqrt( np.sum( (val1-val2)**2 ) )
                
                else:
                    print('Warning, unexpected config difference')
                    this_diff = inf
                    
                distance += this_diff
            
            #: if key different
        #: for each keys_check
        
        return distance
    
    def __repr__(self):
        #return '<Config> %s' % self._filename
        return self.__str__()
    
    def __str__(self):
        output = 'Config: %s' % self._filename
        for k,v in self.items():
            output +=  '\n    %s= %s' % (k,v)
        return output
#: class Config







# -------------------------------------------------------------------
#  Get SU2 Configuration Parameters
# -------------------------------------------------------------------

def read_config(filename):
    """ reads a config file """
      
    # initialize output dictionary
    data_dict = OrderedDict()
    
    input_file = open(filename)
    
    # process each line
    while 1:
        # read the line
        line = input_file.readline()
        if not line:
            break
        
        # remove line returns
        line = line.strip('\r\n').strip()

        if (len(line) == 0):
            continue
        # make sure it has useful data
        if (line[0] == '%'):
            continue
            
        # --- Check if there is a line continuation character at the
        # end of the current line or somewhere in between (the rest is ignored then).
        # If yes, read until there is a line without one or an empty line.
        # If there is a statement after a cont. char
        # throw an error. ---*/
    
        while(line[0].endswith('\\') or len(line.split('\\')) > 1):
            tmp_line = input_file.readline()
            tmp_line = tmp_line.strip()
            assert len(tmp_line.split('=')) <= 1, ('Statement found after line '
                                                   'continuation character in config file %s' % tmp_line)
            if (not tmp_line.startswith('%')):
                line = line.split('\\')[0]
                line += ' ' + tmp_line

        # split across equals sign
        line = line.split("=",1)
        this_param = line[0].strip()
        this_value = line[1].strip()
        
        assert this_param not in data_dict, ('Config file has multiple specifications of %s' % this_param )
        for case in switch(this_param):
            
            # comma delimited lists of strings with or without paren's
            if case("MARKER_EULER")      or\
               case("MARKER_FAR")        or\
               case("MARKER_PLOTTING")   or\
               case("MARKER_MONITORING") or\
               case("MARKER_SYM")        or\
               case("DV_KIND")           : 
                # remove white space
                this_value = ''.join(this_value.split())   
                # remove parens
                this_value = this_value.strip('()')
                # split by comma
                data_dict[this_param] = this_value.split(",")
                break

            # semicolon delimited lists of comma delimited lists of floats
            if case("DV_PARAM"):
                # remove white space
                info_General = ''.join(this_value.split())
                # split by semicolon
                info_General = info_General.split(';')
                # build list of dv params, convert string to float
                dv_Parameters = []
                dv_FFDTag     = []
                dv_Size       = []

                for this_dvParam in info_General:
                    this_dvParam = this_dvParam.strip('()')
                    this_dvParam = this_dvParam.split(",")
                    this_dvSize  = 1

                    # if FFD change the first element to work with numbers and float(x)
                    if data_dict["DV_KIND"][0] in ['FFD_SETTING','FFD_ANGLE_OF_ATTACK','FFD_CONTROL_POINT','FFD_NACELLE','FFD_GULL','FFD_TWIST_2D','FFD_TWIST','FFD_ROTATION','FFD_CAMBER','FFD_THICKNESS','FFD_CONTROL_POINT_2D','FFD_CAMBER_2D','FFD_THICKNESS_2D']:
                        this_dvFFDTag = this_dvParam[0]
                        this_dvParam[0] = '0'
                    else:
                        this_dvFFDTag = []

                    if not data_dict["DV_KIND"][0] in ['NO_DEFORMATION']:
                        this_dvParam = [ float(x) for x in this_dvParam ]

                    if data_dict["DV_KIND"][0] in ['FFD_CONTROL_POINT_2D']:
                        if this_dvParam[3] == 0 and this_dvParam[4] == 0:
                            this_dvSize = 2

                    if data_dict["DV_KIND"][0]in ['FFD_CONTROL_POINT']:
                        if this_dvParam[4] == 0 and this_dvParam[5] == 0 and this_dvParam[6] == 0:
                            this_dvSize = 3

                    dv_FFDTag     = dv_FFDTag     + [this_dvFFDTag]
                    dv_Parameters = dv_Parameters + [this_dvParam]
                    dv_Size       = dv_Size       + [this_dvSize]
            
            # store in a dictionary
                dv_Definitions = { 'FFDTAG' : dv_FFDTag     ,
                                   'PARAM'  : dv_Parameters ,
                                   'SIZE'   : dv_Size}

                data_dict[this_param] = dv_Definitions
                break
            
            # comma delimited lists of floats
            if case("DV_VALUE_OLD")    or\
               case("DV_VALUE_NEW")    or\
               case("DV_VALUE")        :           
                # remove white space
                this_value = ''.join(this_value.split())                
                # split by comma, map to float, store in dictionary
                data_dict[this_param] = list(map(float,this_value.split(",")))
                break              

            # float parameters
            if case("MACH_NUMBER")            or\
               case("AOA")                    or\
               case("FIN_DIFF_STEP")          or\
               case("CFL_NUMBER")             or\
               case("HB_PERIOD")              or\
               case("WRT_SOL_FREQ")           :
                data_dict[this_param] = float(this_value)
                break   
            
            # int parameters
            if case("NUMBER_PART")            or\
               case("AVAILABLE_PROC")         or\
               case("ITER")               or\
               case("TIME_INSTANCES")         or\
               case("UNST_ADJOINT_ITER")      or\
               case("ITER_AVERAGE_OBJ")       or\
               case("INNER_ITER")             or\
               case("OUTER_ITER")             or\
               case("TIME_ITER")             or\
               case("ADAPT_CYCLES")           :
                data_dict[this_param] = int(this_value)
                break                
            
            if case("OUTPUT_FILES"):
                data_dict[this_param] = this_value.strip("()").split(",")
                data_dict[this_param] = [i.strip(" ") for i in data_dict[this_param]]
                break
            if case("HISTORY_OUTPUT"):
                data_dict[this_param] = this_value.strip("()").split(",")
                data_dict[this_param] = [i.strip(" ") for i in data_dict[this_param]]
                break
            
            # unitary design variable definition
            if case("DEFINITION_DV"):
                # remove white space
                this_value = ''.join(this_value.split())                
                # split into unitary definitions
                info_Unitary = this_value.split(";")
                # process each Design Variable
                dv_Kind       = []
                dv_Scale      = []
                dv_Markers    = []
                dv_FFDTag     = []
                dv_Parameters = []
                dv_Size       = []

                for this_General in info_Unitary:
                    if not this_General: continue
                    # split each unitary definition into one general definition
                    info_General = this_General.strip("()").split("|") # check for needed strip()?
                    # split information for dv Kinds
                    info_Kind    = info_General[0].split(",")
                    # pull processed dv values
                    this_dvKind       = get_dvKind( int( info_Kind[0] ) )     
                    this_dvScale      = float( info_Kind[1] )
                    this_dvMarkers    = info_General[1].split(",")
                    this_dvSize       = 1

                    if this_dvKind=='MACH_NUMBER' or this_dvKind=='AOA':
                        this_dvParameters = []
                    else:
                        this_dvParameters = info_General[2].split(",")
                        # if FFD change the first element to work with numbers and float(x), save also the tag
                        if this_dvKind in ['FFD_SETTING','FFD_ANGLE_OF_ATTACK','FFD_CONTROL_POINT','FFD_NACELLE','FFD_GULL','FFD_TWIST','FFD_TWIST_2D','FFD_TWIST_ANGLE','FFD_ROTATION','FFD_CAMBER','FFD_THICKNESS','FFD_CONTROL_POINT_2D','FFD_CAMBER_2D','FFD_THICKNESS_2D']:
                          this_dvFFDTag = this_dvParameters[0]
                          this_dvParameters[0] = '0'
                        else:
                          this_dvFFDTag = []
                        
                        this_dvParameters = [ float(x) for x in this_dvParameters ]

                        if this_dvKind in ['FFD_CONTROL_POINT_2D']:
                            if this_dvParameters[3] == 0 and this_dvParameters[4] == 0:
                                this_dvSize = 2

                        if this_dvKind in ['FFD_CONTROL_POINT']:
                            if this_dvParameters[4] == 0 and this_dvParameters[5] == 0 and this_dvParameters[6] == 0:
                                this_dvSize = 3

                    # add to lists
                    dv_Kind       = dv_Kind       + [this_dvKind]
                    dv_Scale      = dv_Scale      + [this_dvScale]
                    dv_Markers    = dv_Markers    + [this_dvMarkers]
                    dv_FFDTag     = dv_FFDTag     + [this_dvFFDTag]
                    dv_Parameters = dv_Parameters + [this_dvParameters]
                    dv_Size       = dv_Size       + [this_dvSize]
                # store in a dictionary
                dv_Definitions = { 'KIND'   : dv_Kind       ,
                                   'SCALE'  : dv_Scale      ,
                                   'MARKER' : dv_Markers    ,
                                   'FFDTAG' : dv_FFDTag     ,
                                   'PARAM'  : dv_Parameters ,
                                   'SIZE'   : dv_Size}

                # save to output dictionary
                data_dict[this_param] = dv_Definitions
                break  
            
            # unitary objective definition
            if case('OPT_OBJECTIVE'):
                # remove white space
                this_value = ''.join(this_value.split())
                #split by ; 
                this_def=OrderedDict()
                this_value = this_value.split(";")
                
                for  this_obj in this_value:       
                    # split by scale
                    this_obj = this_obj.split("*")
                    this_name  = this_obj[0]
                    this_scale = 1.0
                    if len(this_obj) > 1:
                        this_scale = float( this_obj[1] )
                    # check for penalty-based constraint function 
                    for this_sgn in ['<','>','=']:
                        if this_sgn in this_name: break
                    this_obj = this_name.strip('()').split(this_sgn)
                    if len(this_obj)>1:
                        this_type = this_sgn
                        this_val = this_obj[1]
                    else:
                        this_type = 'DEFAULT'
                        this_val  = 0.0 
                    this_name = this_obj[0]
                    # Print an error and exit if the same key appears twice
                    if (this_name in this_def):
                      raise SystemExit('Multiple occurrences of the same objective in the OPT_OBJECTIVE definition are not currently supported. To evaluate one objective over multiple surfaces, list the objective once.')
                    # Set up dict for objective, including scale, whether it is a penalty, and constraint value 
                    this_def.update({ this_name : {'SCALE':this_scale, 'OBJTYPE':this_type, 'VALUE':this_val} })
                    if (len(data_dict['MARKER_MONITORING'])>1):
                        this_def[this_name]['MARKER'] = data_dict['MARKER_MONITORING'][len(this_def)-1]
                    else:
                        this_def[this_name]['MARKER'] = data_dict['MARKER_MONITORING'][0]

                # save to output dictionary
                data_dict[this_param] = this_def
                break
            
            # unitary constraint definition
            if case('OPT_CONSTRAINT'):
                # remove white space
                this_value = ''.join(this_value.split())                    
                # check for none case
                if this_value == 'NONE':
                    data_dict[this_param] = {'EQUALITY':OrderedDict(), 'INEQUALITY':OrderedDict()}
                    break                    
                # split definitions
                this_value = this_value.split(';')
                this_def = OrderedDict()
                for this_con in this_value:
                    if not this_con: continue # if no definition
                    # defaults
                    this_obj = 'NONE'
                    this_sgn = '='
                    this_scl = 1.0
                    this_val = 0.0
                    # split scale if present
                    this_con = this_con.split('*')
                    if len(this_con) > 1:
                        this_scl = float( this_con[1] )
                    this_con = this_con[0]
                    # find sign
                    for this_sgn in ['<','>','=']:
                        if this_sgn in this_con: break
                    # split sign, store objective and value
                    this_con = this_con.strip('()').split(this_sgn)
                    assert len(this_con) == 2 , 'incorrect constraint definition'
                    this_obj = this_con[0]
                    this_val = float( this_con[1] )
                    # store in dictionary
                    this_def[this_obj] = { 'SIGN'  : this_sgn ,
                                           'VALUE' : this_val ,
                                           'SCALE' : this_scl  }
                #: for each constraint definition
                # sort constraints by type
                this_sort = { 'EQUALITY'   : OrderedDict() ,
                              'INEQUALITY' : OrderedDict()  }
                for key,value in this_def.items():
                    if value['SIGN'] == '=':
                        this_sort['EQUALITY'][key]   = value
                    else:
                        this_sort['INEQUALITY'][key] = value
                #: for each definition                
                # save to output dictionary
                data_dict[this_param] = this_sort
                break
            
            # otherwise
            # string parameters
            if case():
                data_dict[this_param] = this_value
                break              
            
            #: if case DEFINITION_DV
                        
        #: for case
        
    #: for line

    if 'OPT_CONSTRAINT' in data_dict: 
        if 'BUFFET' in data_dict['OPT_CONSTRAINT']['EQUALITY'] or 'BUFFET' in data_dict['OPT_CONSTRAINT']['INEQUALITY']:
            data_dict['BUFFET_MONITORING'] = "YES"

    if 'OPT_OBJECTIVE' in data_dict:
        if 'BUFFET' in data_dict['OPT_OBJECTIVE']:
            data_dict['BUFFET_MONITORING'] = "YES"

    #hack - twl
    if 'DV_VALUE_NEW' not in data_dict:
        data_dict['DV_VALUE_NEW'] = [0]
    if 'DV_VALUE_OLD' not in data_dict:
        data_dict['DV_VALUE_OLD'] = [0]
    if 'OPT_ITERATIONS' not in data_dict:
        data_dict['OPT_ITERATIONS'] = 100
    if 'OPT_ACCURACY' not in data_dict:
        data_dict['OPT_ACCURACY'] = 1e-10
    if 'OPT_RELAX_FACTOR' not in data_dict:
        data_dict['OPT_RELAX_FACTOR'] = 1.0
    if 'OPT_GRADIENT_FACTOR' not in data_dict:
        data_dict['OPT_GRADIENT_FACTOR'] = 1.0
    if 'OPT_BOUND_UPPER' not in data_dict:
        data_dict['OPT_BOUND_UPPER'] = 1e10
    if 'OPT_BOUND_LOWER' not in data_dict:
        data_dict['OPT_BOUND_LOWER'] = -1e10
    if 'OPT_COMBINE_OBJECTIVE' not in data_dict:
        data_dict['OPT_COMBINE_OBJECTIVE'] = "NO"
    if 'OPT_CONSTRAINT' not in data_dict:
        data_dict['OPT_CONSTRAINT'] =  {'INEQUALITY': OrderedDict(), 'EQUALITY': OrderedDict()}
    if 'VALUE_OBJFUNC_FILENAME' not in data_dict:
        data_dict['VALUE_OBJFUNC_FILENAME'] = 'of_eval.dat'
    if 'GRAD_OBJFUNC_FILENAME' not in data_dict:
        data_dict['GRAD_OBJFUNC_FILENAME'] = 'of_grad.dat'
    if 'AOA' not in data_dict:
        data_dict['AOA'] = 0.0
    if 'SIDESLIP_ANGLE' not in data_dict:
        data_dict['SIDESLIP_ANGLE'] = 0.0
    if 'MACH_NUMBER' not in data_dict:
        data_dict['MACH_NUMBER'] = 0.0
    if 'REYNOLDS_NUMBER' not in data_dict:
        data_dict['REYNOLDS_NUMBER'] = 0.0
    if 'TARGET_CL' not in data_dict:
        data_dict['TARGET_CL'] = 0.0
    if 'FREESTREAM_PRESSURE' not in data_dict:
        data_dict['FREESTREAM_PRESSURE'] = 101325.0
    if 'FREESTREAM_TEMPERATURE' not in data_dict:
        data_dict['FREESTREAM_TEMPERATURE'] = 288.15
    if 'MARKER_OUTLET' not in data_dict:
        data_dict['MARKER_OUTLET'] = '(NONE)'

    #
    # Multipoints requires some particular default values
    #
    multipoints = 1
    if 'MULTIPOINT_WEIGHT' not in data_dict:
      data_dict['MULTIPOINT_WEIGHT'] = "(1.0)"
      multipoints = 1
    else:
      multipoints = len(data_dict['MULTIPOINT_WEIGHT'].replace("(", "").replace(")", "").split(','))

    if 'MULTIPOINT_MACH_NUMBER' not in data_dict:
      Mach_Value = data_dict['MACH_NUMBER']
      Mach_List = "("
      for i in range(multipoints):
        if i != 0: Mach_List +=  ", "
        Mach_List +=  str(Mach_Value)
      Mach_List += ")"
      data_dict['MULTIPOINT_MACH_NUMBER'] = Mach_List
      
    if 'MULTIPOINT_AOA' not in data_dict:
      Alpha_Value = data_dict['AOA']
      Alpha_List = "("
      for i in range(multipoints):
        if i != 0: Alpha_List +=  ", "
        Alpha_List +=  str(Alpha_Value)
      Alpha_List += ")"
      data_dict['MULTIPOINT_AOA'] = Alpha_List

    if 'MULTIPOINT_SIDESLIP_ANGLE' not in data_dict:
      Beta_Value = data_dict['SIDESLIP_ANGLE']
      Beta_List = "("
      for i in range(multipoints):
        if i != 0: Beta_List +=  ", "
        Beta_List +=  str(Beta_Value)
      Beta_List += ")"
      data_dict['MULTIPOINT_SIDESLIP_ANGLE'] = Beta_List
      
    if 'MULTIPOINT_REYNOLDS_NUMBER' not in data_dict:
      Reynolds_Value = data_dict['REYNOLDS_NUMBER']
      Reynolds_List = "("
      for i in range(multipoints):
        if i != 0: Reynolds_List +=  ", "
        Reynolds_List +=  str(Reynolds_Value)
      Reynolds_List += ")"
      data_dict['MULTIPOINT_REYNOLDS_NUMBER'] = Reynolds_List

    if 'MULTIPOINT_TARGET_CL' not in data_dict:
      TargetCLValue = data_dict['TARGET_CL']
      TargetCL_List = "("
      for i in range(multipoints):
        if i != 0: TargetCL_List +=  ", "
        TargetCL_List +=  str(TargetCLValue)
      TargetCL_List += ")"
      data_dict['MULTIPOINT_TARGET_CL'] = TargetCL_List

    if 'MULTIPOINT_FREESTREAM_PRESSURE' not in data_dict:
      Pressure_Value = data_dict['FREESTREAM_PRESSURE']
      Pressure_List = "("
      for i in range(multipoints):
        if i != 0: Pressure_List +=  ", "
        Pressure_List +=  str(Pressure_Value)
      Pressure_List += ")"
      data_dict['MULTIPOINT_FREESTREAM_PRESSURE'] = Pressure_List

    if 'MULTIPOINT_FREESTREAM_TEMPERATURE' not in data_dict:
      Temperature_Value = data_dict['FREESTREAM_TEMPERATURE']
      Temperature_List = "("
      for i in range(multipoints):
        if i != 0: Temperature_List +=  ", "
        Temperature_List +=  str(Temperature_Value)
      Temperature_List += ")"
      data_dict['MULTIPOINT_FREESTREAM_TEMPERATURE'] = Temperature_List

    if 'MULTIPOINT_OUTLET_VALUE' not in data_dict:
      if 'NONE' in data_dict['MARKER_OUTLET']:
        Outlet_Value = 0.0
      else:
        Outlet_Value = data_dict['MARKER_OUTLET'].replace("(", "").replace(")", "").split(',')[1]
      Outlet_Value_List = "("
      for i in range(multipoints):
        if i != 0: Outlet_Value_List +=  ", "
        Outlet_Value_List +=  str(Outlet_Value)
      Outlet_Value_List += ")"
      data_dict['MULTIPOINT_OUTLET_VALUE'] = Outlet_Value_List

    if 'MULTIPOINT_MESH_FILENAME' not in data_dict:
      Mesh_Filename = data_dict['MESH_FILENAME']
      Mesh_List = "("
      for i in range(multipoints):
        if i != 0: Mesh_List +=  ", "
        Mesh_List +=  str(Mesh_Filename)
      Mesh_List += ")"
      data_dict['MULTIPOINT_MESH_FILENAME'] = Mesh_List  

    if 'HISTORY_OUTPUT' not in data_dict:
        data_dict['HISTORY_OUTPUT'] = ['ITER', 'RMS_RES']

    #
    # Default values for optimization parameters (needed for some eval functions
    # that can be called outside of an opt. context.
    #
    if 'OBJECTIVE_FUNCTION' not in data_dict:
        data_dict['OBJECTIVE_FUNCTION']='DRAG'
    if 'DV_KIND' not in data_dict:
        data_dict['DV_KIND']=['FFD_SETTING']
    if 'DV_PARAM' not in data_dict:
        data_dict['DV_PARAM']={'FFDTAG': ['1'], 'PARAM': [[0.0, 0.5]], 'SIZE': [1]}
    if 'DEFINITION_DV' not in data_dict:
        data_dict['DEFINITION_DV']={'FFDTAG': [[]],
            'KIND': ['HICKS_HENNE'],
            'MARKER': [['WING']],
            'PARAM': [[0.0, 0.05]],
            'SCALE': [1.0],
            'SIZE': [1]}
    if 'VALUE_OBJFUNC_FILENAME' not in data_dict:
        data_dict['VALUE_OBJFUNC_FILENAME'] = 'of_eval.dat'
    if 'GRAD_OBJFUNC_FILENAME' not in data_dict:
        data_dict['GRAD_OBJFUNC_FILENAME'] = 'of_grad.dat'
 
    return data_dict
    
#: def read_config()



# -------------------------------------------------------------------
#  Set SU2 Configuration Parameters
# -------------------------------------------------------------------

def write_config(filename,param_dict):
    """ updates an existing config file """
    
    temp_filename = "temp.cfg"
    shutil.copy(filename,temp_filename)
    output_file = open(filename,"w")

    # break pointers
    param_dict = copy.deepcopy(param_dict)
    
    for raw_line in open(temp_filename):
        # remove line returns
        line = raw_line.strip('\r\n')
        
        # make sure it has useful data
        if not "=" in line:
            output_file.write(raw_line)
            continue
        
        # split across equals sign
        line = line.split("=")
        this_param = line[0].strip()
        old_value  = line[1].strip()
        
        # skip if parameter unwanted
        if this_param not in param_dict:
            output_file.write(raw_line)
            continue
        
        # start writing parameter
        new_value = param_dict[this_param] 
        output_file.write(this_param + "= ")
        
        # handle parameter types
        for case in switch(this_param):  
              
            # comma delimited list of floats
            if case("DV_VALUE_NEW") : pass
            if case("DV_VALUE_OLD") : pass
            if case("DV_VALUE")     :           
                n_lists = len(new_value)
                for i_value in range(n_lists):
                    output_file.write("%s" % new_value[i_value])
                    if i_value+1 < n_lists:
                        output_file.write(", ")               
                break
            
            # comma delimited list of strings no paren's
            if case("DV_KIND")            : pass
            if case("TASKS")              : pass
            if case("GRADIENTS")          :            
                if not isinstance(new_value,list):
                    new_value = [ new_value ]
                n_lists = len(new_value)
                for i_value in range(n_lists):
                    output_file.write(new_value[i_value])
                    if i_value+1 < n_lists:
                        output_file.write(", ")               
                break            
            
            # comma delimited list of strings inside paren's
            if case("MARKER_EULER")      : pass
            if case("MARKER_FAR")        : pass
            if case("MARKER_PLOTTING")   : pass
            if case("MARKER_MONITORING") : pass
            if case("MARKER_SYM")        : pass            
            if case("DV_MARKER") : 
                if not isinstance(new_value,list):
                    new_value = [ new_value ]                
                output_file.write("( ")
                n_lists = len(new_value)
                for i_value in range(n_lists):
                    output_file.write(new_value[i_value])
                    if i_value+1 < n_lists:
                        output_file.write(", ")
                output_file.write(" )") 
                break                
            if case("OUTPUT_FILES"):
                n_lists = len(new_value)
                output_file.write("(")
                for i_value in range(n_lists):
                    output_file.write(new_value[i_value])
                    if i_value+1 < n_lists:
                        output_file.write(", ")
                output_file.write(")")
                break
            
            if case("HISTORY_OUTPUT"):
                n_lists = len(new_value)
                for i_value in range(n_lists):
                    output_file.write(new_value[i_value])
                    if i_value+1 < n_lists:
                        output_file.write(", ")
                break

            # semicolon delimited lists of comma delimited lists
            if case("DV_PARAM") :

                assert isinstance(new_value['PARAM'],list) , 'incorrect specification of DV_PARAM'
                if not isinstance(new_value['PARAM'][0],list): new_value = [ new_value ]
                
                for i_value in range(len(new_value['PARAM'])):

                    output_file.write("( ")
                    this_param_list = new_value['PARAM'][i_value]
                    this_ffd_list = new_value['FFDTAG'][i_value]
                    n_lists = len(this_param_list)
                    
                    if this_ffd_list != []:
                      output_file.write("%s, " % this_ffd_list)
                      for j_value in range(1,n_lists):
                        output_file.write("%s" % this_param_list[j_value])
                        if j_value+1 < n_lists:
                          output_file.write(", ")
                    else:
                      for j_value in range(n_lists):
                        output_file.write("%s" % this_param_list[j_value])
                        if j_value+1 < n_lists:
                          output_file.write(", ")

                    output_file.write(") ")
                    if i_value+1 < len(new_value['PARAM']):
                        output_file.write("; ")
                break
            
            # int parameters
            if case("NUMBER_PART")            : pass
            if case("ADAPT_CYCLES")           : pass
            if case("TIME_INSTANCES")         : pass
            if case("AVAILABLE_PROC")         : pass
            if case("UNST_ADJOINT_ITER")      : pass
            if case("ITER")              or\
               case("TIME_ITER")         or\
               case("INNER_ITER")        or\
               case("OUTER_ITER"): 
                output_file.write("%i" % new_value)
                break
                        
            if case("DEFINITION_DV") :
                n_dv = len(new_value['KIND'])
                if not n_dv:
                    output_file.write("NONE")
                for i_dv in range(n_dv):
                    this_kind = new_value['KIND'][i_dv]
                    output_file.write("( ")
                    output_file.write("%i , " % get_dvID(this_kind) )
                    output_file.write("%s " % new_value['SCALE'][i_dv])
                    output_file.write("| ")
                    # markers                  
                    n_mark = len(new_value['MARKER'][i_dv])
                    for i_mark in range(n_mark):                       
                        output_file.write("%s " % new_value['MARKER'][i_dv][i_mark])
                        if i_mark+1 < n_mark:
                            output_file.write(", ")
                    #: for each marker
                    if not this_kind in ['AOA','MACH_NUMBER']:
                        output_file.write(" | ")
                        # params
                        if this_kind in ['FFD_SETTING','FFD_ANGLE_OF_ATTACK','FFD_CONTROL_POINT','FFD_NACELLE','FFD_GULL','FFD_TWIST_ANGLE','FFD_TWIST','FFD_TWIST_2D','FFD_ROTATION','FFD_CAMBER','FFD_THICKNESS','FFD_CONTROL_POINT_2D','FFD_CAMBER_2D','FFD_THICKNESS_2D']:
                            n_param = len(new_value['PARAM'][i_dv])
                            output_file.write("%s , " % new_value['FFDTAG'][i_dv])
                            for i_param in range(1,n_param):
                                output_file.write("%s " % new_value['PARAM'][i_dv][i_param])
                                if i_param+1 < n_param:
                                    output_file.write(", ")
                        else:
                            n_param = len(new_value['PARAM'][i_dv])
                            for i_param in range(n_param):
                                output_file.write("%s " % new_value['PARAM'][i_dv][i_param])
                                if i_param+1 < n_param:
                                    output_file.write(", ")
                    
                        #: for each param                    
                    output_file.write(" )")
                    if i_dv+1 < n_dv:
                        output_file.write("; ")
                #: for each dv
                break
            
            if case("OPT_OBJECTIVE"):
                n_obj = 0
                for name,value in new_value.items():
                    if n_obj>0: output_file.write("; ")
                    if value['OBJTYPE']=='DEFAULT':
                        output_file.write( "%s * %s " % (name,value['SCALE']) )
                    else:
                        output_file.write( "( %s %s %s ) * %s" 
                                           % (name, value['OBJTYPE'], value['VALUE'], value['SCALE']) )
                    n_obj += 1
                break
            
            if case("OPT_CONSTRAINT"):
                i_con = 0
                for con_type in ['EQUALITY','INEQUALITY']:
                    this_con = new_value[con_type]
                    for name,value in this_con.items():
                        if i_con>0: output_file.write("; ")
                        output_file.write( "( %s %s %s ) * %s" 
                                          % (name, value['SIGN'], value['VALUE'], value['SCALE']) ) 
                        i_con += 1
                    #: for each constraint
                #: for each constraint type
                if not i_con: output_file.write("NONE")
                break
            
            # default, assume string, integer or unformatted float 
            if case():
                output_file.write('%s' % new_value)
                break                         
                
        #: for case
        
        # remove from param dictionary
        del param_dict[this_param]
        
        # next line
        output_file.write("\n")        
        
    #: for each line
    
    # check that all params were used
    for this_param in param_dict.keys():
        if not this_param in ['JOB_NUMBER']:
            print('Warning: Parameter %s not found in config file and was not written' % (this_param))
        
    output_file.close()
    os.remove(temp_filename)
    
#: def write_config()


def dump_config(filename,config):
    ''' dumps a raw config file with all options in config 
        and no comments
    '''
    
    # HACK - twl
    if 'DV_VALUE_NEW' in config:
        config.DV_VALUE = config.DV_VALUE_NEW
        
    config_file = open(filename,'w')
    # write dummy file
    for key in config.keys():
        config_file.write( '%s= 0 \n' % key )
    config_file.close()
    # dump data
    write_config(filename,config)    

